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Article Publication Data Quality — String Normalisation + Duplicate Key Report
x402
Article Publication Data Quality — String Normalisation + Duplicate Key Report is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).
Runs string normalisation and duplicate key detection on batches of article publication records (published_articles, word_count) and returns two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Article publication — String normalisation + Duplicate key report: String normalisation + Duplicate key report for supplied article publication records (published_articles, word_count). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Two independent analytical reports: (1) a string normalisation report highlighting inconsistencies, case variations, whitespace issues, or other string anomalies in the channel_group and date fields; (2) a duplicate key report identifying rows with repeated or conflicting key combinations. Covers up to 200 input rows per call.
Example use cases
News CMS data quality audit
“I exported 80 rows from our news CMS with columns row_id, channel_group, date, published_articles, and word_count — can you run duplicate key detection and string normalisation on them so I can find any messy or repeated entries before I import them into our reporting dashboard?”
Content channel deduplication check
“We have a batch of 120 article publication records across different channel groups and I suspect there are duplicate row_ids and inconsistent string casing in the channel_group field — can you run both the duplicate key report and string normalisation report on them?”
Pre-aggregation validation of article metrics
“Before I aggregate our weekly published_articles and word_count totals, can you scan these 40 article publication rows for any duplicate keys and normalise the string fields so the grouping doesn't break on whitespace or case differences?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-news-01-021?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, local analytical data quality checks on article publication records specifically — no external lookups or live data enrichment, just fast string normalisation and duplicate key detection on up to 200 rows for a flat $0.01 USDC. Ideal for pre-processing pipelines before aggregation, import, or reporting where data consistency matters.
Side effects
- Exceeding 200 rows per request returns a validation error
- Missing required fields (row_id, channel_group, date, published_articles, word_count) causes row-level rejection
- Malformed date strings not matching YYYY-MM-DD pattern are flagged or rejected
- Empty rows array returns an error (minItems: 1)
- Numeric fields outside the allowed range trigger schema validation failures
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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